.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/shading/plot_colormap_reference.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_examples_shading_plot_colormap_reference.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_shading_plot_colormap_reference.py:


Colormap reference
==================

Plot hyoga altitude and relief colormaps.

.. GENERATED FROM PYTHON SOURCE LINES 11-37



.. image-sg:: /examples/shading/images/sphx_glr_plot_colormap_reference_001.png
   :alt: Hyoga colormaps
   :srcset: /examples/shading/images/sphx_glr_plot_colormap_reference_001.png
   :class: sphx-glr-single-img





.. code-block:: default


    import numpy as np
    import matplotlib.pyplot as plt
    import hyoga  # register colormaps, pylint: disable=unused-import

    # initialize figure
    fig, axes = plt.subplots(nrows=5)
    fig.subplots_adjust(left=0.2)

    # prepare gradient image
    gradient = np.linspace(0, 1, 256)
    gradient = np.vstack((gradient, gradient))

    # plot background pattern and color gradients
    colormaps = ['Bathymetric', 'Topographic', 'Elevational', 'Matte', 'Glossy']
    for ax, name in zip(axes, colormaps):
        ax.patch.set(hatch='..', edgecolor='0.5')
        ax.imshow(gradient, aspect='auto', cmap=name)
        ax.text(-8, .5, name, va='center', ha='right', fontsize=10)
        ax.set(xticks=[], yticks=[])

    # set title
    axes[0].set_title('Hyoga colormaps')

    # show
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.141 seconds)


.. _sphx_glr_download_examples_shading_plot_colormap_reference.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example


    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_colormap_reference.py <plot_colormap_reference.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_colormap_reference.ipynb <plot_colormap_reference.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_